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Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

  • Scene ParsingonVisual Genome
    Recall@100· 2021-06-16
    31.4
    best: 36 (SpeaQ (without reweighting))
    SOTA
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • Scene ParsingonVisual Genome
    Recall@20· 2021-06-16
    22.2
    SOTA
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • Scene Graph GenerationonVisual Genome
    Recall@100· 2021-06-16
    31.4
    best: 36 (SpeaQ (without reweighting))
    SOTA
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • Scene Graph GenerationonVisual Genome
    Recall@20· 2021-06-16
    22.2
    SOTA
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • Scene ParsingonVisual Genome
    Recall@50· 2021-06-16
    28.2
    best: 32.9 (SpeaQ (without reweighting))
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • Scene Graph GenerationonVisual Genome
    Recall@50· 2021-06-16
    28.2
    best: 32.9 (SpeaQ (without reweighting))
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543

Audio3 results

  • 2D Semantic SegmentationonVisual Genome
    Recall@100· 2021-06-16
    31.4
    best: 36 (SpeaQ (without reweighting))
    SOTA
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • 2D Semantic SegmentationonVisual Genome
    Recall@20· 2021-06-16
    22.2
    SOTA
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543
  • 2D Semantic SegmentationonVisual Genome
    Recall@50· 2021-06-16
    28.2
    best: 32.9 (SpeaQ (without reweighting))
    Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsarXiv:2106.08543